Vibe-to-Production · Cursor

Production Review for a Cursor-Built Codebase

An AI-first code editor for people who read the code it writes.

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49
01 / CHECKS
100
02 / POINT SCALE
72 hours
03 / TO FINDINGS
27
04 / YEARS IN PRODUCTION
CursorPlatform guide

Cursor is a developer tool, and codebases built with it are usually further along than prompt-to-app output — the person driving it can read what it produced. What accumulates instead is architectural inconsistency and untested paths, from many fast local decisions that were each individually reasonable.

Technical founders and small engineering teams shipping quickly with AI assistance.

How Cursor is built

One design decision explains everything below.

It is an editor — the artefact is an ordinary repository, read by a human.

So the risk is not code nobody understood; it is code that accumulated faster than anyone could review.

What Cursor does well

You picked it for good reasons. They still hold.

If Cursor had not produced something worth keeping, there would be nothing on this page worth taking to production.

  • A reader stays in the loopThat changes the failure mode entirely.
  • Real accelerationExperienced engineers, faster on well-understood but tedious work.
  • Nothing to leave laterA normal repository with normal tooling.
  • Fits existing practiceReview, testing and deployment discipline survive intact.
Where it stops

It didn't fail you. It finished its job.

Everything below is scope Cursor deliberately leaves to you — the same items our readiness framework scores first.

  1. Local consistency, global drift

    Each suggestion is sensible in its file. Across a codebase, the same problem ends up solved three different ways.

  2. Volume outpaces review

    Careful review takes nearly as long as writing, so under deadline it gets skimmed — which is where subtle authorization and validation errors survive.

  3. Tests remain the thing that gets skipped

    The gap between how much code exists and how much is tested tends to widen rather than close.

  4. Tooling configuration is attack surface

    Extensions and integrations run with developer privileges and reach source and credentials. They deserve the same review as a production dependency.

What the tool did, and did not, do

Cursor ran the recipe. The checkpoints are the other half.

A generator follows a pattern well, and that gets you a working application. What it cannot do is decide which production checkpoints your particular project has to clear, or make the fixes those checkpoints call for. That work exists whether you carry on in Cursor or not — which is why the choice below is about economics, not loyalty.

Stay — the default

Nothing here asks your team to change tools

Cursor produces ordinary code in an ordinary repository, so everything we add is additive — coverage, conventions, and gates that run automatically. Velocity stays; the quality burden leaves your engineers' heads.

  • The three-ways-solved problems reconciled to one
  • Review concentrated on authorization, validation and data-access boundaries
  • Coverage as the automated gate, review where judgement is needed
  • Conventions written down so the agent propagates the right decisions
  • Tool configuration inside the security review, not outside it
Scale — the exception

There is nothing here to outgrow

Standard code, standard repository — no lock-in to escape and no migration in your future. What scales is process, and process grows with the team rather than replacing anything.

The only signals that would mean moving
  • Team growth has outpaced the written conventions
  • Several people generating against the same areas at once
  • Review has become the bottleneck rather than the safeguard

None of these signals sound like your Cursor build? Then staying wins — and hardening in place is the cheaper engagement.

The order we work in

Sequence beats effort.

Access control before performance — fixing them in the wrong order means doing the work twice while the bigger risk stays open.

Read the full methodology

  1. Read for consistency

    Architectural divergence matters more than any single file.

  2. Review the boundaries

    Authorization, validation, data access — where plausible code hides real bugs.

  3. Gate on coverage

    Critical path and denial cases, then require it to hold.

  4. Audit the tooling

    Dependencies and configuration as security surface.

  5. Leave conventions behind

    CI and written standards that hold after we leave.

Our honest read on Cursor
Cursor-built codebases are usually the healthiest ones we see — the work is rarely repair, and almost always about making consistency and coverage keep pace with speed.
FAQ

Cursor questions.

QOur engineers use Cursor well. Do we need an external review?
Competence is not the variable — proximity is. The specific value of an outside review is that we have not been reading this code for six months and will not skim what has become familiar. Teams that use Cursor well typically get a short findings list, which is a useful result in itself.
QWhat do you find most often in AI-assisted codebases?
Authorization checked in some paths and not others, validation applied at the interface but not at the boundary, and duplicated logic that has since diverged. All three are consequences of speed rather than of the tool.
QIs this different from a normal code review?
The emphasis differs. We weight consistency and coverage more heavily, because those are the dimensions that erode quietly when code is generated faster than it is read.
QCan you work alongside our team instead of taking over?
Yes — that is what the retainer model is for. A named team reviewing what reaches production, from 3 months.
Where to go next
Other platforms
What happens next

One step at a time. You can stop after any of them.

Nobody can price this honestly before seeing the code, so nothing starts with a proposal. Each step produces something you keep.

  1. Access

    Before anything moves

    NDA signed and returned first. Then read-only access, scoped to the repository.

    We cannot commit, force-push or alter a branch — not by policy, by the access itself.

    Mutual NDA · signed
    • Countersigned and returned to you
    • Read-only token, scoped to one repository
    • Expires when the report is delivered

  2. Diagnostic

    72 hours

    Production engineers work through as many as 49 checks, across 8 weighted categories.

    People, not a scanner. Absences do not show up unless somebody is looking for them.

    Readiness score
    • Weighted across every category
    • Each check passed or failed on evidence
    • No partial credit, no adjectives

  3. Report

    With the score

    A scored findings document — every item with the file, the line and the fix.

    Hand it to any engineering team, including one that is not us, and they can act on it.

    Findings, ranked
    • Severe · authorization reachable without a rule
    • High · no rollback path on release
    • Each with file, line and effort to close

  4. Prioritize

    Same week

    One call to agree what blocks launch, what waits, and what you can ignore.

    The order is the judgement — and the part that saves the most money.

    Agreed sequence
    • Blocks launch — do first
    • Costs money quietly — do next
    • Safe to carry for a quarter

  5. Ship in milestones

    2–6 weeks

    Fixes land in reviewable increments, each deployable on its own.

    No big-bang rewrite and no dark period with the product in pieces.

    Milestone log
    • Each increment reviewable and deployable
    • Nothing merged without a test that would catch it
    • You can stop after any one
Ways to work together

Start with a diagnosis. Not a proposal.

The first step is always the same and it is fixed-price. Full deliverables are on the pricing page.

  • 72 hours

    Diagnostic Audit

    Find out exactly what stands between your prototype and real users.

    You have something working, you are about to put it in front of customers or investors, and you want to know what breaks first.

    $2K – $5K
    Start here
  • 2–6 weeksMost common

    Rescue & Ship

    Fix what actually blocks launch, then put it live.

    The foundation is sound but the production layer is missing — authorization, testing, deployment, monitoring.

    $5K – $25K
    Start here
  • 6–16 weeks

    Full Rebuild

    Keep the product. Replace the foundation.

    The prototype proved the idea, but its architecture will not survive the roadmap. Rebuilding costs less than fighting it for a year.

    $25K – $100K+
    Start here
  • from 3 months

    Co-Pilot Retainer

    An engineering team that stays.

    A named, dedicated team that stays with your codebase — reviewing, hardening and shipping alongside you as you keep building with AI tooling.

    $5K – $25K/mo
    Start here
Before you share anything
Your IP · 100% yours, in writing

Nobody has ever regretted sending us their repository.

Handing private code to anyone is a real decision, so everything below is settled before the audit starts rather than on request.

  1. An NDA is signed and returned before you send a linkStep one, every time
  2. Access is read-only, scoped to one repository, and time-boxedRevoked on delivery
  3. Our copy of your code is deleted when the report landsNothing retained
  4. We build for clients and never launch anything that competes with themNever has happened
No-obligation diagnosis

Send us the repository. We'll tell you what's missing.

Fixed price, 72 hours to findings, and a report you can act on with or without us. Nothing is committed until you have read it.

NDA signed before you send anything · read-only access, revoked when the report lands · our copy deleted on delivery.

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